class_docstr: Lightweight immutable Dataframe similar to Pandas Dataframe.
code: def __init__(
      self,
      column_names: Sequence[str],
      rows: Sequence[Sequence[Any]] = None,
      columns: Sequence[Sequence[Any]] = None,
  ):
      self._column_names = column_names
      if not rows and not columns:
          raise ValueError("Cannot initialize with empty data!")
      self._rows = rows
      self._columns = columns
  
imports: import itertools
  import json
  from typing import Any, Callable, Optional, Sequence, Tuple, Union
  from collections import namedtuple
  import numpy
  from tensorflow.python.compiler.tensorrt.model_tests import model_handler
  import tensorflow.python.compiler.tensorrt.trt_convert
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 1 to create a new DataFrame object  with example: obj = DataFrame(column_names, rows, columns)